Title :
A novel technique for spike detection in extracellular neurophysiological recordings using Cepstrum of Bispectrum
Author :
Shahid, Shahjahan ; Smith, Leslie S.
Author_Institution :
Dept. of Comput. Sci. & Math., Univ. of Stirling, Stirling, UK
Abstract :
Signals from extracellular electrodes in neural systems record voltages resulting from activity in many neurons. Detecting action potentials (spikes) in a small number of specific (target) neurons is difficult because of poor SNR due to noise generated by the firing of neighbouring neurons. A new algorithm for spike detection has been developed: it applies a Cepstrum of Bispectrum (CoB) estimated inverse filter to provide blind equalization. This CoB based technique can detect 99% of spike events with less than 1% false positives (insertions) from the extracellular signal at up to -10dB SNR. We compare performance with four established techniques and report that the CoB based algorithm performs best.
Keywords :
blind equalisers; filtering theory; neurophysiology; signal detection; blind equalization; cepstrum of bispectrum; estimated inverse filter; extracellular electrodes; extracellular neurophysiological recordings; spike detection; Extracellular; Neurons; Noise measurement; Shape; Signal processing algorithms; Signal to noise ratio;
Conference_Titel :
Signal Processing Conference, 2008 16th European
Conference_Location :
Lausanne